• WHAT: Pathway Enrichment Analysis & Visualization w/ Open Access Tools
  • WHEN: April 21st, 10am-12pm & 1-3pm
  • WHERE: Online; instructions upon registration
  • WHO: Ansuman Chattopadhyay & Sri Chaparala
  • HOW: Register here

This class focuses on uncovering the biology hidden behind a list of genes that are differentially expressed between two conditions (tumor vs. normal, virus-infected vs. mock, etc.) by searching publicly available pathway enrichment analysis resources including Gene Ontology (GO), Molecular Signature Database (MsigDB), Reactome, Panther, KEGG, PathwayCommons, and WikiPathways using GSEA and g: Profiler. We also cover how to generate enrichment maps for GSEA and g:Profiler results in Cytoscape.

Target Audience:

Experimental biologists seeking to analyze gene lists generated through omics experiments. The software covered in the workshop operates through a user-friendly, point-and-click graphical user Interface, so neither programming experience nor familiarity with command line interface is required.

Workshop Guide:



Please include the following statement in the acknowledgments section for all publications, posters, and presentations: Data analysis was performed using {name of software} software licensed through the Molecular Biology Information Service of the Health Sciences Library System, University of Pittsburgh.

HSLS Winter/Spring 2021 MolBio Info Service Training Workshops schedule

Contact the HSLS Molecular Biology Information Service with any questions.